Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Haiyong Wen"'
Autor:
Xuping Feng, Chenliang Yu, Yue Chen, Jiyun Peng, Lanhan Ye, Tingting Shen, Haiyong Wen, Yong He
Publikováno v:
Frontiers in Plant Science, Vol 9 (2018)
The development of transgenic glyphosate-tolerant crops has revolutionized weed control in crops in many regions of the world. The early, non-destructive identification of superior plant phenotypes is an important stage in plant breeding programs. He
Externí odkaz:
https://doaj.org/article/d9100ad661ff45dbbd6bd3f7995be655
Autor:
Yue Peng, Xin Xu, Qi Shao, Haiyong Weng, Haibo Niu, Zhiyu Li, Chen Zhang, Pu Li, Xiaomei Zhong, Jie Yang
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Addressing the threats of climate change, pollution, and overfishing to marine ecosystems necessitates a deeper understanding of coastal and oceanic fluid dynamics. Within this context, Lagrangian Coherent Structures (LCS) emerge as essential tools f
Externí odkaz:
https://doaj.org/article/deffcf94c06e46d38a7595247fe3bbd5
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
This study conducted composting experiments using cow manure and wheat straw, employing five different treatment methods (CK, magnetized water treatment-M, magnetized water combined with biochar treatment-SM, magnetized water combined with ferrous su
Externí odkaz:
https://doaj.org/article/203d97c2e894449b843855f371fdca2c
Autor:
Libin Wu, Han Shao, Jiayi Li, Chen Chen, Nana Hu, Biyun Yang, Haiyong Weng, Lirong Xiang, Dapeng Ye
Publikováno v:
Plant Phenomics, Vol 6 (2024)
The last decades have witnessed a rapid development of noninvasive plant phenotyping, capable of detecting plant stress scale levels from the subcellular to the whole population scale. However, even with such a broad range, most phenotyping objects a
Externí odkaz:
https://doaj.org/article/ab4ca3d2bd5e4dd0b6fded749d3ea748
Publikováno v:
Plants, Vol 12, Iss 21, p 3675 (2023)
Rice blast has caused major production losses in rice, and thus the early detection of rice blast plays a crucial role in global food security. In this study, a semi-supervised contrastive unpaired translation iterative network is specifically design
Externí odkaz:
https://doaj.org/article/0b3e0e3a6b6d42658fe4ade26d0fb3d1
Publikováno v:
Plant Phenomics, Vol 5 (2023)
Salt stress is considered one of the primary threats to cotton production. Although cotton is found to have reasonable salt tolerance, it is sensitive to salt stress during the seedling stage. This research aimed to propose an effective method for ra
Externí odkaz:
https://doaj.org/article/7dd307d3acf949b69d898a205b40b082
Publikováno v:
Molecules, Vol 28, Iss 14, p 5379 (2023)
Tea polyphenol and epigallocatechin gallate (EGCG) were considered as key components of tea. The rapid prediction of these two components can be beneficial for tea quality control and product development for tea producers, breeders and consumers. Thi
Externí odkaz:
https://doaj.org/article/ed46f81ab0244e92a04843c7c9335e8c
Publikováno v:
Plants, Vol 12, Iss 8, p 1698 (2023)
Non-destructive plant stress phenotyping begins with traditional one-dimensional (1D) spectroscopy, followed by two-dimensional (2D) imaging, three-dimensional (3D) or even temporal-three-dimensional (T-3D), spectral-three-dimensional (S-3D), and tem
Externí odkaz:
https://doaj.org/article/52bce445aca5461f869d518c1aea7820
Autor:
Jinchai Xu, Fangfang Qu, Bihe Shen, Zhenxiong Huang, Xiaoli Li, Haiyong Weng, Dapeng Ye, Renye Wu
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1739 (2023)
Tea polyphenols are considered as an important indicator of tea quality. Rapid detection of tea polyphenol content plays a valuable role for tea breeding and quality inspection during tea production. In this work, a portable rapid non-destructive det
Externí odkaz:
https://doaj.org/article/788b4c1c3bd745079ceb492235a2133d
Autor:
Dawei Sun, Haiyan Cen, Haiyong Weng, Liang Wan, Alwaseela Abdalla, Ahmed Islam El-Manawy, Yueming Zhu, Nan Zhao, Haowei Fu, Juan Tang, Xiaolong Li, Hongkun Zheng, Qingyao Shu, Fei Liu, Yong He
Publikováno v:
Plant Methods, Vol 15, Iss 1, Pp 1-16 (2019)
Abstract Background The advances of hyperspectral technology provide a new analytic means to decrease the gap of phenomics and genomics caused by the fast development of plant genomics with the next generation sequencing technology. Through hyperspec
Externí odkaz:
https://doaj.org/article/fc8f53f4f59f4cc6998c7576e90abbd7